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670 articles for “data rate”
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Enhancing the User Experience of Asthma Inhalers: A Redesign Approach
Abstract: Asthma is a widespread chronic respiratory condition impacting millions globally, presenting significant challenges in its management and treatment. While conventional inhalers effectively administer medication, they often encounter usability issues, hindering patient adherence and treatment outcomes. This abstract delineates the development and potential impact of a redesigned asthma inhaler aimed at addressing these challenges. Incorporating human-centered design principles, the revamped inhaler prioritizes usability, portability, and effectiveness to enhance the overall management …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 32–36 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Voice Controlled Wheelchair Along with Health Monitoring
Abstract: In recent years, mobility aids like wheelchairs have been essential for enhancing the independence of individuals with physical disabilities. However, traditional wheelchairs, often controlled manually or via joysticks, pose challenges for those with severe impairments. This project introduces a voice-controlled wheelchair integrated with health monitoring capabilities, addressing these limitations. The system features an ESP32 microcontroller that processes voice commands, such as "move forward" or "stop," captured by a microphone and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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Ayurvedic Referential Recommendation: A Smart Approach to Digital Healthcare
Abstract: Ayurveda stands as one of the most ancient healing systems. It takes a full-circle view of health zooming in on nature’s cures tailoring treatments and tweaking daily habits. But getting your hands on real Ayurvedic treatment can be tough. Not enough pros with the right certs, not to mention the real-deal herbal Things. So here’s a thought: the Ayurveda Medicine and Doctor Finder App. It’s this cool app mash-up of …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 31–37 Read article
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Estimation of Semi-Blind Channel for Two-Way Relay by Using CRB: Pilot-based and Random Pilot-based
Abstract: The main purpose of semi-blind channel estimation scheme is for frequency-selective channel estimation, for multi-input and multi-output (MIMO) on relay networks, for using high bandwidth efficient use of spectrum. This scheme motivate to the low complexity of system to allow exchange information users to users by using an intermediate relay node. Because of superposition of signals at the relay node, section receiving signal at the user terminals is affected by …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 22–31 Read article
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Evaluation of Temporal Distribution of Recurrent Cholera Outbreak in Zambia.
Abstract: Background: Cholera cases in Zambia have been observed over a period without understanding the epidemiological cycles. The aim of the study was to evaluate the temporal distribution of recurrent cholera outbreak in Zambia from 1977 to 2019. Methods: Cholera case records of both sex and all ages were retrospectively analyzed. The primary source documents were reviewed including infectious diseases line list, notifiable diseases reports, Health Impact Assessment, District Health Impact …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 10–21 Read article
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Health and Wellness in the Age of Digital Landscapes: Fostering Quality of Life
Abstract: Digital technologies have been transforming the world of health and wellness, bringing unique ways to enhance people's life quality around grand scale. These developments are completely changing the way we think about social health, mental health, and physical fitness. People can better monitor, manage, and optimize their health by utilizing technologies like wearables, telemedicine, and smartphone health apps in conjunction with artificial intelligence. This study examines the various ways that …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 1, 2025 · pp. 1–4 Read article
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Heterosis in Plants
Abstract: It refers to hybrid vigor or heterosis; herein, the offspring expressed better traits than one or both parent lines. This most often manifests in crop breeding as increased yield in F1 hybrids compared with their parents. Developing high-yielding hybrid cultivars across a wider range of crops represents an important strategy for addressing future food security. However, conventional hybrid breeding approaches are fraught with significant challenges in many self-pollinating crops, such …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 21–31 Read article
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Knowledge on Atypical Antipsychotic Drugs among Caregivers of Mentally Ill Patients
Abstract: Antipsychotic drugs have high rate of nonadherence due to unpleasant side effects. This study aimed to assess the caregivers’ knowledge on atypical antipsychotic drugs. A descriptive survey approach was used. The study was conducted among 100 caregivers of mentally ill patients receiving atypical antipsychotic drugs. The data were collected through a self-administered knowledge questionnaire on atypical antipsychotic drugs. The data were analyzed by using descriptive and inferential statistics. Results showed …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 3, 2015 · pp. 36–40 Read article
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A Quasi-Experimental Study to Assess the Effectiveness of Hot Fomentation versus Cold Compress in Reducing Infiltration among Patients Undergoing IV Infusion in a Selected Hospital of Delhi
Abstract: A quasi-experimental study to assess the effectiveness of hot fomentation versus cold compress in reducing infiltration and associated pain among patients undergoing IV infusion in a selected hospital of Delhi. The objectives of the study were (i) to assess the degree of infiltration in both the groups (ii) to assess the level of infiltration after the intervention in both the groups (iii) to compare the level of infiltration before and …
Published in Research and Reviews : Journal of Surgery · Vol. 5, Issue 1, 2016 · pp. 24–30 Read article
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Optimal Abrasive Jet Machining Parameters for Glass Fiber Reinforced Plastics
Abstract: Abrasive jet machining (AJM) is a best choice for processing of glass fiber reinforced plastics (GFRP). Inherent to the nonlinear behavior of performance characteristics during repeated experiments are inevitable variations, attributed to measurement errors and unknown influencing input variables. This study employs the Taguchi method with an orthogonal array to systematically identify optimal input variables through a limited number of experiments. The paper introduces a direct and reliable Taguchi-based multi-objective …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 247–255 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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Safe Routes to School: Best Practice and their Applicability to Urban Context
Abstract: Safe routes to school (SRTS) programs aim to encourage active transportation for children through enhanced safety, accessibility, and infrastructure within the areas surrounding schools. SRTS has become increasingly popular worldwide as a method of promoting public health, decreasing traffic, and promoting community cohesion. Yet bringing SRTS to urban environments comes with special challenges. Urban locations often have high traffic volumes, inadequate pedestrian facilities, socioeconomic inequities, and variable policy backing that …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 31–35 Read article
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An Empirical Analysis of Cost, Time, and Quality Relationships Using Correlation and Regression Techniques
Abstract: Cost, time, and quality have been recognized as the three key dimensions that determine construction project performance and are commonly represented through the "Project Management Triangle." However, despite their theoretical linkage, there is limited empirical evidence to quantify the nature of their relationships, particularly within developing construction markets. This paper seeks to contribute to addressing this shortfall by investigating the specific influence of cost and schedule variations upon quality outcomes …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 52–60 Read article
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Convolution Neural Network Model for Intrusion Detection in Network
Abstract: The evolution of the internet has made protecting information a necessity. Network intrusion and prevention plays an integral role in network-based security. The Intrusion technologies primarily used in today’s world deploy various machine learning algorithms and train models based on them resulting in effectively low detection rates. A technical advancement from machine learning, Deep Learning employs complex mechanisms to extract features from samples. As observed that conventional intrusion detection systems …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 1, 2021 · pp. 7–13 Read article
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Application of Portfolio Using Fuzzy Logic
Abstract: ABSTRACTA portfolio has to match the portfolio of long-term liabilities with the portfolio of assets. Key instruments in strategic asset liability management (ALM) are the adjustment of investments with respective policies and their interest rate analogous with the scenario of the market. We have given mathematical formulation of the investment problem in terms of stochastic problem (SP) and finally represented it in terms of Fuzzy Inference Engine by providing a …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 16–25 Read article
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Early Heart Failure Recognition for Infants Using Machine Learning
Abstract: The care of newborn infants remains a significant responsibility for healthcare professionals, as ensuring infant survival can often be complex and demanding. Conditions such as heart failure and cardiac arrest in infants are life-threatening and require prompt diagnosis and treatment. Detecting cardiac problems at an early stage can greatly enhance survival outcomes and minimize serious complications. In recent years, machine learning (ML) approaches have become valuable tools for predicting cardiovascular …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article
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Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article